| A comparison of nature inspired algorithms for multi-threshold image segmentation V Osuna-Enciso, E Cuevas, H Sossa Expert Systems with Applications 40 (4), 1213-1219, 2013 | 204* | 2013 |
| A Multilevel Thresholding algorithm using electromagnetism optimization D Oliva, E Cuevas, G Pajares, D Zaldivar, V Osuna-Enciso Neurocomputing 139, 357-381, 2014 | 192 | 2014 |
| Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC) E Cuevas, D Zaldívar, M Pérez-Cisneros, H Sossa, V Osuna Applied soft computing 13 (6), 3047-3059, 2013 | 94 | 2013 |
| Image segmentation by minimum cross entropy using evolutionary methods D Oliva, S Hinojosa, V Osuna-Enciso, E Cuevas, M Pérez-Cisneros, ... Soft Computing 23, 431-450, 2019 | 74 | 2019 |
| Fast algorithm for multiple-circle detection on images using learning automata E Cuevas, F Wario, V Osuna-Enciso, D Zaldivar, M Pérez-Cisneros IET Image Processing 6 (8), 1124-1135, 2012 | 65 | 2012 |
| Automatic multiple circle detection based on artificial immune systems E Cuevas, V Osuna-Enciso, F Wario, D Zaldívar, M Pérez-Cisneros Expert Systems with Applications 39 (1), 713-722, 2012 | 53 | 2012 |
| Opposition-based moth swarm algorithm D Oliva, S Esquivel-Torres, S Hinojosa, M Pérez-Cisneros, ... Expert Systems with Applications 184, 115481, 2021 | 52 | 2021 |
| A diversity metric for population-based metaheuristic algorithms V Osuna-Enciso, E Cuevas, BM Castañeda Information Sciences 586, 192-208, 2022 | 51 | 2022 |
| Evolutionary computation techniques: a comparative perspective E Cuevas, V Osuna, D Oliva Springer, 2017 | 28 | 2017 |
| Improving segmentation velocity using an evolutionary method D Oliva, V Osuna-Enciso, E Cuevas, G Pajares, M Pérez-Cisneros, ... Expert Systems with Applications 42 (14), 5874-5886, 2015 | 28 | 2015 |
| Multithreshold segmentation based on artificial immune systems E Cuevas, V Osuna-Enciso, D Zaldivar, M Perez-Cisneros, H Sossa Mathematical Problems in Engineering 2012 (1), 874761, 2012 | 27 | 2012 |
| A bio-inspired evolutionary algorithm: allostatic optimisation V Osuna-Enciso, E Cuevas, D Oliva, H Sossa, M Pérez-Cisneros International Journal of Bio-Inspired Computation 8 (3), 154-169, 2016 | 18 | 2016 |
| Neural forecasting and optimal sizing for hybrid renewable energy systems with grid-connected storage system KJ Gurubel, V Osuna-Enciso, JJ Cardenas, A Coronado-Mendoza, ... Journal of Renewable and Sustainable Energy 8 (4), 2016 | 17 | 2016 |
| Combining information from thresholding techniques through an evolutionary Bayesian network algorithm D Oliva, MSR Martins, V Osuna-Enciso, EF de Morais Applied Soft Computing 90, 106147, 2020 | 15 | 2020 |
| Parameter identification of two dimensional digital filters using electro-magnetism optimization M Elhoseny, D Oliva, V Osuna-Enciso, AE Hassanien, M Gunasekaran Multimedia Tools and Applications 79, 5005-5022, 2020 | 15 | 2020 |
| Dynamic phasors modeling for a single phase two stage inverter A Coronado-Mendoza, MA Pérez-Cisneros, JA Domínguez-Navarro, ... Electric Power Systems Research 140, 854-865, 2016 | 14 | 2016 |
| Digital image thresholding by using a lateral inhibition 2D histogram and a mutated electromagnetic field optimization I Aranguren, A Valdivia, M Pérez-Cisneros, D Oliva, V Osuna-Enciso Multimedia Tools and Applications 81 (7), 10023-10049, 2022 | 11 | 2022 |
| A novel multi-threshold segmentation approach based on artificial immune system optimization E Cuevas, V Osuna-Enciso, D Zaldívar, M Pérez-Cisneros Advances in computational intelligence, 309-317, 2009 | 9 | 2009 |
| Template Matching E Cuevas, V Osuna, D Oliva, E Cuevas, V Osuna, D Oliva Evolutionary Computation Techniques: A Comparative Perspective, 65-93, 2017 | 8 | 2017 |
| Multi-circle detection on images E Cuevas, V Osuna, D Oliva, E Cuevas, V Osuna, D Oliva Evolutionary computation techniques: a comparative perspective, 35-64, 2017 | 8 | 2017 |
Erik CuevasUniversidad de GuadalajaraDirección de correo verificada de cucei.udg.mx
